New 2025: Year in Review

Modern AI Observability and Evaluation

Your single platform to observe, evaluate, and improve AI agents and applications across the enterprise.

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Traces
Agents
Experiments
Monitors
Alerts
Evaluators
Playground
Annotations

Partnering with leading firms.
From AI startups to Fortune 100 enterprises.

Distributed Tracing

See inside any agent, any framework, anywhere

Instrument end-to-end AI systems—prompts, retrieval, MCP/A2A, LLM requests, and agent handoffs—so teams can debug issues fast.

OpenTelemetry-native. Works across 100+ LLMs & agent frameworks.
Online Evaluation. Run live evals to detect failures across agents.
Session Replays. Replay chat sessions in the Playground.
Filters and Groups. Quickly search across traces and find outliers.
Graph and Timeline View. Debug complex multi-agent systems.
Human Review. Allow domain experts to grade and correct outputs.
Monitoring & Alerts

Continuously monitor agent quality at scale

Evaluate live traffic with LLM-as-a-judge or custom code, get alerts on failures, and convert traces to datasets for your next iteration.

Online Evaluation. Detect issues across quality, safety, and more at scale.
Alerts and Drift Detection. Get real-time alerts when your agent silently fails.
Automations. Add failing prompts to datasets or trigger human review.
Custom Dashboard. Get quick insights into the metrics that matter.
Analytics. Slice and dice your data to track custom KPIs.
Annotation Queues. Surface failures to domain experts for manual review.
Experiments

Confidently ship changes with automated evals

Validate changes on large test suites, compare versions side-by-side, and catch regressions in CI before users feel them.

Experiments. Test your agents offline against large datasets.
Datasets. Centrally manage test cases with domain experts.
Custom Evaluators. Write your own LLM-as-a-judge or code evaluators.
Human Review. Allow domain experts to grade outputs.
Regression Detection. Identify critical regressions as you iterate.
CI/CD Integration. Run automated test suites over every commit.
Artifact Management

Manage prompts, datasets, and evals across teams

Give engineers and domain experts a single source of truth for prompts, datasets, and evaluators—synced between UI and code.

Prompts. Manage and version prompts in a collaborative IDE.
Datasets. Curate test suites from traces in the UI.
Evaluators. Manage, version, & test evaluators in the console.
Version Management. Git-native versioning across artifacts.
GitOps Workflows. Sync local artifacts with cloud using automations.
Playground. Experiment with new prompts and models.
OpenTelemetry-native

Open standards, open ecosystem

Enterprise-grade security

SOC 2 Type II certified. GDPR and HIPAA compliant. SSO, SAML, RBAC, and self-hosting available.

Trust Center  ↗
SOC-2, GDPR, and HIPAA compliant

SOC-2 Type II, GDPR, and HIPAA compliant to meet your security needs.

Hybrid or Self-hosted

Choose between multi-tenant SaaS, single-tenant SaaS, hybrid SaaS, or full self-hosting.

Granular permissions

Enterprise-grade RBAC with fine-grained permissions and low-level customization.

"It's critical to ensure quality and performance across our AI agents. With HoneyHive, we've not only improved the capabilities of our agents but also seamlessly deployed them to thousands of users — all while enjoying peace of mind."

Div Garg

Co-Founder

"For prompts, specifically, versioning and evaluation was the biggest pain for our cross-functional team in the early days. Manual processes using Gdocs - not ideal. Then I found @honeyhiveai in the @mlopscommunity slack and we’ve never looked back."

Rex Harris

Head of AI/ML

"HoneyHive solved our biggest headache: monitoring RAG pipelines for personalized e-commerce. Before, we struggled to pinpoint issues and understand pipeline behavior. Now we can debug issues instantly, making our product more reliable than ever."

Cristian Pinto

CTO

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